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Matching Networks for One Shot Learning
v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
    VLM
ArXiv (abs)PDFHTML

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown
Title
Out-of-Domain Detection for Low-Resource Text Classification Tasks
Out-of-Domain Detection for Low-Resource Text Classification Tasks
Ming Tan
Yang Yu
Haoyu Wang
Dakuo Wang
Saloni Potdar
Shiyu Chang
Mo Yu
OODD
78
58
0
31 Aug 2019
Energy Clustering for Unsupervised Person Re-identification
Energy Clustering for Unsupervised Person Re-identification
Kaiwei Zeng
45
23
0
31 Aug 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
110
210
0
30 Aug 2019
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
Chenrui Zhang
Xiaoqing Lyu
Zhi Tang
68
30
0
30 Aug 2019
Neural Snowball for Few-Shot Relation Learning
Neural Snowball for Few-Shot Relation Learning
Tianyu Gao
Xu Han
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
Maosong Sun
97
79
0
29 Aug 2019
Large-Scale Historical Watermark Recognition: dataset and a new
  consistency-based approach
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Xi Shen
Ilaria Pastrolin
Oumayma Bounou
Spyros Gidaris
Marc Smith
Olivier Poncet
Mathieu Aubry
31
16
0
27 Aug 2019
Learning Continually from Low-shot Data Stream
Learning Continually from Low-shot Data Stream
Canyu Le
Xihan Wei
Biao Wang
L. Zhang
Zhonggui Chen
CLL
24
3
0
27 Aug 2019
Learning to Discover Novel Visual Categories via Deep Transfer
  Clustering
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
92
304
0
26 Aug 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms,
  Applications and Promises
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
F. Mohammadi
M. Amini
H. Arabnia
OffRL
65
22
0
26 Aug 2019
Learning adaptively from the unknown for few-example video person re-ID
Learning adaptively from the unknown for few-example video person re-ID
Jian Han
13
0
0
25 Aug 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
Dylan Slack
Sorelle A. Friedler
Emile Givental
FaML
118
55
0
24 Aug 2019
Self-reinforcing Unsupervised Matching
Self-reinforcing Unsupervised Matching
Jiang Lu
Lei Li
Changshui Zhang
54
5
0
23 Aug 2019
When Low Resource NLP Meets Unsupervised Language Model:
  Meta-pretraining Then Meta-learning for Few-shot Text Classification
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification
Shumin Deng
Ningyu Zhang
Zhanlin Sun
Jiaoyan Chen
Huajun Chen
VLM
79
45
0
22 Aug 2019
Transferring Robustness for Graph Neural Network Against Poisoning
  Attacks
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OODAAML
122
184
0
20 Aug 2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented
  One-Shot Learning and Bayesian Approximation
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Amir Atapour-Abarghouei
Stephen Bonner
A. Mcgough
64
8
0
19 Aug 2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Kaixin Wang
Jun Hao Liew
Yingtian Zou
Daquan Zhou
Jiashi Feng
VLM
86
1,075
0
18 Aug 2019
Continuous Relaxation of Symbolic Planner for One-Shot Imitation
  Learning
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning
De-An Huang
Danfei Xu
Yuke Zhu
Animesh Garg
Silvio Savarese
Fei-Fei Li
Juan Carlos Niebles
CLL
153
18
0
16 Aug 2019
Few-shot Text Classification with Distributional Signatures
Few-shot Text Classification with Distributional Signatures
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
94
168
0
16 Aug 2019
Wi-Fringe: Leveraging Text Semantics in WiFi CSI-Based Device-Free Named
  Gesture Recognition
Wi-Fringe: Leveraging Text Semantics in WiFi CSI-Based Device-Free Named Gesture Recognition
Md Tamzeed Islam
S. Nirjon
20
18
0
16 Aug 2019
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class Representations
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
125
114
0
14 Aug 2019
Memory-Based Neighbourhood Embedding for Visual Recognition
Memory-Based Neighbourhood Embedding for Visual Recognition
Suichan Li
Dapeng Chen
B. Liu
Nenghai Yu
Rui Zhao
127
39
0
14 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
115
552
0
11 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
138
848
0
08 Aug 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Chen Ma
Chenxu Zhao
Hailin Shi
Li Chen
Junhai Yong
Dan Zeng
AAML
55
17
0
06 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Qi Fan
Wei Zhuo
Chi-Keung Tang
Yu-Wing Tai
ObjD
174
533
0
06 Aug 2019
Learning to Generalize to Unseen Tasks with Bilevel Optimization
Learning to Generalize to Unseen Tasks with Bilevel Optimization
Hayeon Lee
Donghyun Na
Haebeom Lee
Sung Ju Hwang
39
1
0
05 Aug 2019
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained
  Image Classification
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Huaxi Huang
Junjie Zhang
Jian Zhang
Jingsong Xu
Qiang Wu
131
122
0
04 Aug 2019
Learning to Adapt Invariance in Memory for Person Re-identification
Learning to Adapt Invariance in Memory for Person Re-identification
Zhun Zhong
Liang Zheng
Zhiming Luo
Shaozi Li
Yezhou Yang
OOD
84
179
0
01 Aug 2019
Few-Shot Meta-Denoising
Few-Shot Meta-Denoising
Leslie Casas
Attila Klimmek
G. Carneiro
Nassir Navab
Vasileios Belagiannis
61
5
0
31 Jul 2019
An Empirical Study of Batch Normalization and Group Normalization in
  Conditional Computation
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation
Vincent Michalski
Vikram S. Voleti
Samira Ebrahimi Kahou
Anthony Ortiz
Pascal Vincent
C. Pal
Doina Precup
BDL
52
6
0
31 Jul 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start
  Recommendation
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee
Jinbae Im
Seongwon Jang
Hyunsouk Cho
Sehee Chung
58
368
0
31 Jul 2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Xiang Li
Tianhan Wei
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
VLM
102
249
0
29 Jul 2019
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive
  Matrices
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices
Damien Teney
Peng Wang
Jiewei Cao
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
65
31
0
29 Jul 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
113
329
0
28 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OODBDLUQCV
83
54
0
27 Jul 2019
Metalearned Neural Memory
Metalearned Neural Memory
Tsendsuren Munkhdalai
Alessandro Sordoni
Tong Wang
Adam Trischler
KELM
63
62
0
23 Jul 2019
Few-shot Learning for Domain-specific Fine-grained Image Classification
Few-shot Learning for Domain-specific Fine-grained Image Classification
Changrui Chen
Hongwei Xv
Junyu Dong
Qiong Li
Xin Sun
116
63
0
23 Jul 2019
Relational Generalized Few-Shot Learning
Relational Generalized Few-Shot Learning
Xiahan Shi
Leonard Salewski
Martin Schiegg
Zeynep Akata
Max Welling
78
24
0
22 Jul 2019
Automatic detection of rare pathologies in fundus photographs using
  few-shot learning
Automatic detection of rare pathologies in fundus photographs using few-shot learning
G. Quellec
M. Lamard
Pierre-Henri Conze
P. Massin
B. Cochener
81
77
0
22 Jul 2019
Domain-Specific Priors and Meta Learning for Few-Shot First-Person
  Action Recognition
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition
Huseyin Coskun
Zeeshan Zia
Bugra Tekin
Federica Bogo
Nassir Navab
Federico Tombari
H. Sawhney
79
27
0
22 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot
  Action Recognition
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
M. Bishay
Georgios Zoumpourlis
Ioannis Patras
ViT
94
155
0
21 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Yu-Xiong Wang
Deva Ramanan
M. Hebert
CLL
75
151
0
18 Jul 2019
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief
  Tracking
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
Hwaran Lee
Jinsik Lee
Tae-Yoon Kim
60
162
0
17 Jul 2019
Towards Understanding Generalization in Gradient-Based Meta-Learning
Towards Understanding Generalization in Gradient-Based Meta-Learning
Simon Guiroy
Vikas Verma
C. Pal
73
21
0
16 Jul 2019
Massively Multilingual Neural Machine Translation in the Wild: Findings
  and Challenges
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
N. Arivazhagan
Ankur Bapna
Orhan Firat
Dmitry Lepikhin
Melvin Johnson
...
George F. Foster
Colin Cherry
Wolfgang Macherey
Zhiwen Chen
Yonghui Wu
105
429
0
11 Jul 2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement
  Learning
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
Nicholas C. Landolfi
G. Thomas
Tengyu Ma
OffRL
64
19
0
11 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
96
96
0
06 Jul 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Ziniu Hu
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
91
77
0
01 Jul 2019
Few-Shot Video Classification via Temporal Alignment
Few-Shot Video Classification via Temporal Alignment
Kaidi Cao
Jingwei Ji
Zhangjie Cao
C. Chang
Juan Carlos Niebles
AI4TS
93
242
0
27 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
92
125
0
23 Jun 2019
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